Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy

Rodríguez Vila, Borja; Gayá Moreno, Francisco Javier; García Vicente, Feliciano y Gómez Aguilera, Enrique J. (2010). Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy. "Medical Physics", v. 37 (n. 3); p. 1137. ISSN 0094-2405. https://doi.org/10.1118/1.3302916.

Descripción

Título: Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy
Autor/es:
  • Rodríguez Vila, Borja
  • Gayá Moreno, Francisco Javier
  • García Vicente, Feliciano
  • Gómez Aguilera, Enrique J.
Tipo de Documento: Artículo
Título de Revista/Publicación: Medical Physics
Fecha: Marzo 2010
Volumen: 37
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Tecnología Fotónica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Purpose: Current radiotherapy is progressing to the concept of adaptive radiotherapy, which implies the adaptation of planning along the treatment course. Nonrigid registration is an essential image processing tool for adaptive radiotherapy and image guided radiotherapy, and the three-dimensional (3D) nature of the current radiotherapy techniques requires a 3D quantification of the registration error that existing evaluation methods do not cover appropriately. The authors present a method for 3D evaluation of nonrigid registration algorithms’ performance, based on organ delineations, capable of working with near-spherical volumes even in the presence of concavities. Methods: The evaluation method is composed by a volume shape description stage, developed using a new ad hoc volume reconstruction algorithm proposed by the authors, and an error quantification stage. The evaluation method is applied to the organ delineations of prostate and seminal vesicles, obtained by an automatic segmentation method over images of prostate cancer patients treated with intensity modulated radiation therapy. Results: The volume reconstruction algorithm proposed has been shown to accurately model complex 3D surfaces by the definition of clusters of control points. The quantification method, inspired by the Haussdorf–Chebysev distance, provides a measure of the largest registration error per control direction, defining a valid metric for concave-convex volumes. Summarizing, the proposed evaluation methodology presents accurate results with a high spatial resolution in a negligible computation time in comparison with the nonrigid registration time. Conclusions: Experimental results show that the metric selected for quantifying the registration error is of utmost importance in a quantitative evaluation based on measuring distances between volumes. The accuracy of the volume reconstruction algorithm is not so relevant as long as the reconstruction is tight enough on the actual volume of the organ. The new evaluation method provides a smooth and accurate volume reconstruction for both the reference and the registered organ, and a complete 3D description of nonrigid registration algorithms’ performance, resulting in a useful tool for study and comparison of registration algorithms for adaptive radiotherapy.

Más información

ID de Registro: 8604
Identificador DC: http://oa.upm.es/8604/
Identificador OAI: oai:oa.upm.es:8604
Identificador DOI: 10.1118/1.3302916
URL Oficial: http://online.medphys.org/resource/1/mphya6/v37/i3/p1137_s1?isAuthorized=no
Depositado por: Memoria Investigacion
Depositado el: 09 Ago 2011 10:29
Ultima Modificación: 20 Abr 2016 17:20
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